Zhipu AI

Z.ai has published GLM Flash Latest on OpenRouter, a routing alias that automatically points to the newest checkpoint in the GLM Flash lineup. It supports a 1.31M token context window and multimodal text, image, and video input at $0.07 per 1M input tokens and $0.25 per 1M output tokens.

Zhipu AI has released GLM-5.3-Flash, the first natively multimodal model in its GLM-5 series, built on a 320B-parameter mixture-of-experts architecture with only 18B active parameters. The company claims it outperforms GLM-5.2 while approaching Claude Opus 4.8 on coding and agentic benchmarks at a fraction of the cost. Unsloth has published quantized GGUF versions for local inference.

Z.ai has released GLM-5.3-Flash, a 320-billion-parameter Mixture-of-Experts model with 18 billion active parameters, a 1-million-token context window, and image input support. The model launched on LM Studio's Bionic platform hours after its official unveiling, with LM Studio claiming it is 9-10x cheaper to run than GLM-5.2.

Hugging Face's transformers v5.16.1 release adds support for GLM-5.3-Flash, a 320B total-parameter (18B active) multimodal mixture-of-experts model. Zhipu AI claims it outperforms GLM-5.2 while approaching Claude Opus 4.8 on coding and agentic benchmarks at one-tenth the cost.

Three Hugging Face repositories tied to next-generation GLM and Qwen model lines have appeared online: zai-org/GLM-5.3-Flash, Qwen/Qwen3.8-Flash-Next, and a community GGUF quantization from unsloth. None currently ship with a completed model card, published benchmarks, or pricing.

Zhipu AI has released GLM-5.3-Flash, the first natively multimodal model in its GLM-5 series, built on a 320B-parameter mixture-of-experts architecture with only 18B active parameters. The company claims it outperforms GLM-5.2 across benchmarks at one-tenth the cost while approaching Claude Opus 4.8 on coding and agentic tasks.

Z.ai has released GLM-5.3-Flash, a native multimodal model built for coding and long-horizon agent tasks, featuring a 1M-token context window and a hybrid sparse-linear attention architecture. The model is available via OpenRouter at a discounted $0.075/$0.25 per 1M tokens through September 2026.

Z.ai's GLM-5.3 ties Kimi K3 for the top spot among open models on the Artificial Analysis Intelligence Index, driven by a major leap in agentic task performance. The company is delaying the open-weight release by about two weeks, citing the model's unusually strong vulnerability-detection capabilities.

Z.ai released GLM-5.3, a coding-focused model built on the same base as GLM-5.2 but with substantially extended post-training, and claims it surpasses Moonshot AI's Kimi K3 on many agentic coding benchmarks despite having roughly a third of the parameters. The model is live in Z.ai's coding plan now, with API and open-weight Hugging Face access expected within two weeks.

Z.ai released GLM-5.3, available now in its coding plan, with API access and open weights on Hugging Face to follow within two weeks. The company says the model matches or beats larger frontier systems on agentic coding benchmarks using the same base checkpoint as GLM-5.2, with all gains coming from expanded post-training.

Zhipu AI has released GLM-5.3, a coding-focused model built on the same base as GLM-5.2 with additional post-training. The company claims it's the strongest open-weights coding model available, with gains concentrated in agentic and cybersecurity tasks, though independent benchmarks are not yet published.

Zhipu AI released GLM-5.2, a 753 billion parameter model with a 1 million token context window. The model scores 62.1% on SWE-bench Pro and introduces IndexShare architecture that reduces per-token FLOPs by 2.9× at 1M context length. Released under MIT license with no regional restrictions.

Zhipu AI has released GLM-5.2, a 753 billion parameter model featuring a 1 million token context window and MIT open-source license. The model scores 62.1% on SWE-bench Pro and 91.2% on GPQA-Diamond, with flexible reasoning effort levels for coding tasks.